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Discipline-specific forecasting of research output in Australian universities

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  • Abbas Valadkhani
  • Simon Ville

Abstract

This article presents a cross-sectional model for forecasting research output across the Australian university system. It builds upon an existing literature that focuses either on institutional comparisons or studies of specific subjects, by providing discipline-specific results across all of the 10 major disciplinary areas as defined by Australia's Department of Education, Science and Training. The model draws upon four (highly significant) discipline-specific explanatory variables; staff size, research expenditure, PhD completions and student-staff ratios to predict the output of refereed articles.

Suggested Citation

  • Abbas Valadkhani & Simon Ville, 2009. "Discipline-specific forecasting of research output in Australian universities," Applied Economics Letters, Taylor & Francis Journals, vol. 16(18), pages 1875-1880.
  • Handle: RePEc:taf:apeclt:v:16:y:2009:i:18:p:1875-1880
    DOI: 10.1080/13504850701719603
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    Cited by:

    1. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    2. Pol, Eduardo & Ville, Simon, 2009. "Social innovation: Buzz word or enduring term?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(6), pages 878-885, December.
    3. Valadkhani, Abbas & Ville, Simon, 2008. "Identifying the Most Research Intensive Faculties of Business in Australia: A Multidimensional Approach," Economics Working Papers wp08-03, School of Economics, University of Wollongong, NSW, Australia.

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